The potential of eye tracking data to strengthen CDA’ explanatory power: the case of multimodal critical discourse analysis of advertising persuasion

Multimodal Critical Discourse Analysis (MCDA) as a sub-discipline of Critical Discourse Analysis (CDA) emerged from the availability of social semiotic frameworks describing multimodal meaning making. However, weaknesses of these frameworks have raised concerns and prompted recent methodological reflections in MCDA. Inspired by these reflections, this paper critically assesses MCDA research on advertising persuasion and identifies a lack of attention in studies to account for the social and ideological impact of advertising. This shortcoming is argued to be attributable to the weak empirical grounding of social semiotic frameworks which in turn is rooted in a 'discursive gap' (Bateman, Citation2019, p. 300) in multimodality as a discipline. The authors then propose methodological solutions involving eye tracking experiments and higher order data analytics which can strengthen the empirical basis of theoretical assumptions made in MCDA research on advertising. Drawing on methodological guidance for empirical multimodal research, the authors discuss specific issues in realizing this proposal, focusing on a strategy addressing operationalization challenges in experimental design and the affordance of a data cluster algorithm that calculates the common viewing path of a group of viewers.